Augmenting structured diagnoses through effective use of pre-trained large language models on clinical notes
Abstract Objective Clinical narrative provides a unique window into provider reasoning and attribution for automated diagnosis assignment, but large language models (LLMs) have traditionally not performed well at medical coding. We evaluate a reproducible method for automated diagnosis assignment using LLMs in clinical...